Unveiling the Nexus: Elevating marketing strategies for enhancing satisfaction and loyalty in elderly health care services by Bishal Bhuyan

“…Moreover, the findings from the linear regression analysis, revealed customer satisfaction towards the marketing of healthcare services can be attributed to product, price, place, process, and physical evidence (7 P’s) and customer perception (R2=.54; .53 respectively). …”
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Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm by Yujie Chai

“…The algorithm also improves the computational efficiency of the model to a certain extent by removing feature words with low feature contribution. …”
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A Review of Traditional and Advanced MPPT Approaches for PV Systems Under Uniformly Insolation and Partially Shaded Conditions by Mustafa Sacid Endiz, Göksel Gökkuş, Atıl Emre Coşgun, Hasan Demir

“…However, due to the non-linear characteristic behavior of the PV module, the module’s output power varies according to the solar radiation and the ambient temperature. …”
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WHEAT IMPORTS REALITY IN SOME DEVELOPING COUNTRIES IN THE LIGHT OF THE EFFECT OF ECONOMIC GLOBALIZATION POLICES FOR THE PERIOD 1985-2010 by Kays Gazal

“…This study depended upon hypothesis which says that the existence of anumber of economic factors are variant in their effects in imported quantities of that product in some developing countries in the light of the effect of economic globalization policies with its economic structure nature and the efficiency of systems in dealing with globalization policies. …”
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Fast sparse representative tree splitting via local density for large-scale clustering by Renmin Wang, Jie Li

“…Abstract Large-scale clustering remains an active yet challenging task in data mining and machine learning, where existing algorithms often struggle to balance efficiency, accuracy, and adaptability. This paper proposes a novel large-scale clustering framework with three key innovations: (1) Parameter-free cluster discovery: unlike conventional methods requiring predefined cluster numbers, our algorithm autonomously identifies natural cluster structures through dynamic density-based splitting decisions. (2) Hybrid sampling-partitioning strategy: by integrating randomized sampling with K-means-based partitioning, we extract high-quality representative points that preserve data integrity with linear computational complexity. (3) Local density-driven MST segmentation: A minimum spanning tree (MST) constructed from representatives is adaptively partitioned using a local density criterion, which dynamically disconnects weakly associated edges by comparing density peaks between adjacent representative points. …”
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Modeling Cost-Estimation Factors for Public Building Projects with Hybrid Approach in Addis Ababa by Behailu Temesgen Habe, Lucy Feleke Nigussie, Mamaru Dessalegn Belay

“…The suggested hybrid approach is based on the Akaike information criterion (AIC) and principal component regression (PCR) employed, coupling a stepwise linear regression model. According to the findings of the study, principal component analysis reduced important factors to 14 and efficiently solved the problem of multicollinearity with a variance inflation factor of less than 2, while stepwise cross-validation solved the overfitting problem at the lowest AIC. …”
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Interpretable artificial intelligence for modulated metasurface antenna design using SHAP and MLP by Amrollah Amini, Ali Moshiri, Mohammad Amin Chaychi Zadeh, Vahid Nayyeri

“…Abstract Modulated metasurface-based leaky-wave antennas have garnered increasing attention due to their low profile, cost-efficiency, and versatility in applications such as telecommunications, imaging, and radar systems. …”
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An Optimization Framework for Allocating and Scheduling Multiple Tasks of Multiple Logistics Robots by Byoungho Choi, Minkyu Kim, Heungseob Kim

“…The fourth step uses a mixed integer linear programming (MILP) model to allocate clusters to robots while minimizing the overall makespan. …”
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Inverse Stochastic Resonance in Cerebellar Purkinje Cells. by Anatoly Buchin, Sarah Rieubland, Michael Häusser, Boris S Gutkin, Arnd Roth

“…ISR allows the Purkinje cell to operate in different functional regimes: the all-or-none toggle or the linear filter mode, depending on the variance of the synaptic input. …”
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Adsorption of heavy metal ion from aqueous solution by nickel oxide nano catalyst prepared by different methods by Amira M. Mahmoud, Fatma A. Ibrahim, Seham A. Shaban, Nadia A. Youssef

“…The results showed that the first-order reaction law fit the reduction of lead ion, also showed good linear relationship with a correlation coefficient (R2) larger than 0.9.…”
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Comprehensive comparison between artificial intelligence and multiple regression: prediction of Palmerston North’s temperature by M. Y. Tufail, S. Gul

“…We found that multiple linear regression and supervised machine learning slightly outperformed the ANN. …”
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Study on the leakage mechanism of the valve plate pair of internal curve hydraulic motor by Wei Ma, Guolai Yang, Wenbin Cao, Guixiang Bai, Chuanchuan Cao, Shoupeng Song

“…The leakage of the valve plate pair of the internal curve hydraulic motor significantly affects its volumetric efficiency and machine performance; however, its leakage mechanism is unclear. …”
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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…Abstract This study explores the efficacy of Automated Machine Learning (AutoML) tools in enhancing linear regression models across industries, focusing on insurance and agriculture. …”
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Dipolar Excitation of a Perfectly Electrically Conducting Spheroid in a Lossless Medium at the Low-Frequency Regime by Panayiotis Vafeas

“…In order to demonstrate the efficiency of our analytical approach, the results are degenerated so as to recover the spherical case, which validates this approach.…”
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A Long-Tail Fault Diagnosis Method Based on a Coupled Time–Frequency Attention Transformer by Li Zhang, Ying Zhang, Hao Luo, Tongli Ren, Hongsheng Li

“…Furthermore, the model’s ability to fully learn features is enhanced through the linear coupling of time–frequency domain attention, which effectively mitigates noise interference and corrects imbalances in data distribution. …”
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A Generalized Method for Rightsizing the Design of a Hybrid Microgrid by Daniel Reich

“…Rather than providing a single solution, as is common in related works, the sizing method introduced in this paper efficiently identifies a wide range of microgrid design options that satisfy the stated power needs. …”
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Statistical Analysis of Soil Parameters Affecting the Bearing Capacity and Settlement Behaviour of Gravel Soils by Ayşe Bengü Sünbül Güner, Ercan Özgan

“…Predictive models for bearing capacity and settlement were developed using multiple linear regression, quadratic, and cubic models. The cubic model demonstrated the highest accuracy, predicting bearing capacity with an R² of 0.79 and settlement with an R² of 0.904. …”
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The persistence of very low correlations between NIH research funding and disease burdens by Ashley J.R. Carter, Milena Gevorkian

“…Study design: Coefficients of relatedness for the linear relationships between funding and disease burden for 27 medical conditions over a period exceeding twenty years were calculated. …”
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Dynamic Pricing Models in E-Commerce: Exploring Machine Learning Techniques to Balance Profitability and Customer Satisfaction by Xiaochen Guo, Lei Zhang

“…Key findings include the superior predictive accuracy of LSTM-based models over traditional approaches like Linear Regression and Decision Trees, particularly in real-time data updates and price elasticity scenarios. …”
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Enhancing temperature uniformity and recirculation in MILD combustion furnace: A study on angle of Burner's bluff body by Mahdi Zourazmai, Mohammad Zabetian Targhi, Ali Ashouri

“…The objective is to improve temperature uniformity, enhance internal recirculation, and reduce pollutant emissions by replacing the curved bluff body with a linear configuration at varying α. Results show that optimizing α significantly enhances performance, with α = 15° yielding the best results. …”
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